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DBMS > JanusGraph vs. Kinetica vs. NSDb vs. OpenMLDB vs. TimesTen

System Properties Comparison JanusGraph vs. Kinetica vs. NSDb vs. OpenMLDB vs. TimesTen

Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn open-source machine learning database that provides a feature platform for training and inferenceIn-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMSRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitejanusgraph.orgwww.kinetica.comnsdb.ioopenmldb.aiwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.janusgraph.orgdocs.kinetica.comnsdb.io/­Architectureopenmldb.ai/­docs/­zh/­maindocs.oracle.com/­database/­timesten-18.1
DeveloperLinux Foundation; originally developed as Titan by AureliusKinetica4 Paradigm Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20172012201720201998
Current release0.6.3, February 20237.1, August 20212024-2 February 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++Java, ScalaC++, Java, Scala
Server operating systemsLinux
OS X
Unix
Windows
LinuxLinux
macOS
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononono
Secondary indexesyesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyesyes
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JDBC
SQLAlchemy
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesClojure
Java
Python
C++
Java
JavaScript (Node.js)
Python
Java
Scala
C++
Go
Java
Python
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesuser defined functionsnonoPL/SQL
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastyesUsing Apache Luceneyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
JanusGraph infosuccessor of TitanKineticaNSDbOpenMLDBTimesTen
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